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Table 2 Accuracy of imputation for the cattle dataset

From: A phasing and imputation method for pedigreed populations that results in a single-stage genomic evaluation

   Cat99   Cat95   Cat90   Cat85   Unmapped
Category1 Count2 AI3 I24 AI3 I24 AI3 I24 AI3 I24 AI3
BothParents 28 0.97 0.64 0.99 0.92 0.99 0.94 1.00 0.95 0.85
SireMGS 224 0.87 0.60 0.97 0.91 0.98 0.95 0.99 0.96 0.82
DamPGS 7 0.92 0.63 0.97 0.87 0.98 0.91 0.98 0.95 0.84
Sire 144 0.86 0.60 0.96 0.90 0.98 0.95 0.98 0.96 0.82
Dam 4 0.95 0.63 0.98 0.90 0.99 0.97 0.99 0.95 0.85
Other 219 0.84 0.58 0.94 0.90 0.96 0.95 0.97 0.96 0.82
  1. 1Animals in the testing set were divided into six categories depending on their pattern of relationship to their most recent densely genotyped ancestors; the categories were: both parents genotyped (BothParents); sire and maternal grandsire (SireMGS); dam and paternal grandsire (DamPGS); sire only (Sire); dam only (Dam); and other relatives (Other); 2Count refers to the number of individuals in each category; 3AI=AlphaImpute; I24=IMPUTE2
  2. 3AlphaI = AlphaImpute.
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Genetics Selection Evolution

ISSN: 1297-9686